Use of outpatient care in Veterans Health Administration and Medicare among veterans receiving primary care in community-based and hospital outpatient clinics

Quality of Care in Veterans Affairs Health Care System In-Person and National TeleOncology Service-Delivered Care

PURPOSE

The Veterans Affairs Health Administration (VA) has experience using telehealth (TH) to deliver care to 10 million enrolled Veterans for many clinical care needs. The VA National TeleOncology Service (NTO) was established in 2020 to provide specialized cancer services regardless of geography. We sought to compare quality in TH-delivered cancer services with traditional (TR) in-person VA care.

METHODS

Using electronic health record data, we identified patients with an International Classification of Diseases-10 diagnostic code for an incident malignancy from December 2016 to March 2021 at early adopting sites providing both TR and TH care. We classified patients as TH users if they received TH services at least once for their cancer care. We gathered demographic, clinical, and treatment characteristics to calculate 25 Quality Oncology Practice Initiative (QOPI) measures in the symptoms and toxicity management (two), end of life and palliative care (10), and core measure domains (13). We report disease-specific measures, QOPI measures descriptively, and performed chi-square tests to compare TH and TR.

RESULTS

We identified 972 patients with lymphoma, prostate, lung, or colorectal cancer. In all, 427 (44%) were TH users. Patients were predominately White (n = 819, 84.3%) men (n = 930, 95.7%). Across 25 QOPI measures, TH users received better (n = 12), worse (n = 10), the same (n = 2), and unevaluable (n = 1) descriptive performance. Appropriate tobacco cessation support within the previous year was higher in TH (85.3% v 76.2%, P = .002). TH and TR rates were similar for the other QOPI measures.

CONCLUSION

VA is a leader in TH cancer care because of both its volume and quality. VA-provided TH cancer care quality is similar to or better than that of TR in-person care. NTO specifically, and VA teleoncology broadly, provides another option to Veterans for cancer care.

Characteristics of Veterans Experiencing Homelessness using Telehealth for Primary Care Before and After COVID-19 Pandemic Onset

BACKGROUND

The COVID-19 pandemic expanded telehealth use across healthcare systems, including the Veterans Health Administration (VA). Little is known about how large-scale telehealth rollout affected access to primary care for patients experiencing homelessness.

OBJECTIVE

To examine the extent to which homeless-experienced veterans used telehealth services in primary care and to characterize users before and after the onset of the COVID-19 pandemic.

DESIGN

Retrospective cohort study, 3/16/2019-3/15/2022.

PARTICIPANTS

394,731 veterans with homelessness diagnoses nationally using 4,068,109 primary care visits.

MAIN MEASURES

The outcomes were use of 1 + telehealth visits (video, phone, secure messaging) for primary care during each year. Through multivariable regression models, we examined associations between telehealth use, patient characteristics (e.g., age, sex, race-ethnicity, comorbidity), and VA homeless services use (e.g., homeless-tailored primary care (HPACT), permanent supportive housing).

KEY RESULTS

Compared to pre-pandemic, telehealth in primary care among homeless-experienced veterans increased substantially 2 years post-pandemic (video: 1.37% versus 20.56%, phone: 60.74% versus 76.58%). Secure messaging was low over time (1.57-2.63%). In adjusted models, video users were more likely to be young (65 + years: OR = 0.43, CI: 0.42-0.44), women (OR = 1.74, CI: 1.70-1.78), Black (OR = 1.14, CI: 1.12-1.16), Hispanic (OR = 1.34, CI: 1.30-1.38), and with more comorbidities (2 + on the Charlson Comorbidity Index; OR = 1.16, CI: 1.14-1.19), compared to video non-users. HPACT patients were less likely to use video (OR = 0.68, CI: 0.66-0.71) than other primary care patients. This was not observed among users of other VA homeless services.

CONCLUSIONS

Despite decreased access to health information technology and low pre-pandemic telehealth use, veterans experiencing homelessness still sustained high use of telehealth in primary care post-pandemic. Women and racial-ethnic minorities had higher video uptake proportionately, suggesting that telehealth may address access disparities among these homeless-experienced patient groups. Identifying and targeting organizational characteristics (e.g., HPACT users) that predict telehealth use for improvement may be key to increasing adoption among VA primary care patients experiencing homelessness.

Inhaler Formulary Change in COPD and the Association with Exacerbations, Health Care Utilization, and Costs

Rationale

Prescription formularies specify which medications are available to patients. Formularies change frequently, potentially forcing patients to switch medications for nonclinical indications (nonmedical switching). Nonmedical switching is known to impact disease control and adherence. The consequences of nonmedical switching have not been rigorously studied in COPD.

Methods

We conducted a cohort study of Veterans with COPD on inhaler therapy in January 2016 when formoterol was removed from the Department of Veterans Affairs (VA) national formulary. A 2-point difference-in-differences analysis using multivariable negative binomial and generalized linear models was performed to estimate the association of the formulary change with patient outcomes in the 6 months before and after the change. Our primary outcome was the number of COPD exacerbations in 6 months, with secondary outcomes of total health care encounters and encounter-related costs in 6 months.

Results

We identified 10,606 Veterans who met our inclusion criteria, of which 409 (3.9%) experienced nonmedical switching off formoterol. We did not identify a change in COPD exacerbations (-0.04 exacerbations; 95% confidence interval [CI] -0.12, 0.03) associated with the formulary change. In secondary outcome analysis, we did not observe a change in the number of health care encounters (-0.12 visits; 95% CI -1.00, 0.77) or encounter-related costs ($369; 95% CI -$1141, $1878).

Conclusions

Among COPD patients on single inhaler therapy, nonmedical inhaler switches due to formulary discontinuation of formoterol were not associated with changes in COPD exacerbations, encounters, or encounter-related costs. Additional research is needed to confirm our findings in more severe disease and other settings.

Primary care provider perspectives on virtual and in-person depression management during the COVID-19 pandemic

INTRODUCTION

During the COVID-19 pandemic, primary care providers (PCPs), nurses, and integrated mental health specialists continued to collaboratively manage depression among patients using both in-person and virtual (i.e., hybrid) modalities. Few studies have characterized how hybrid services are currently delivered within interdisciplinary primary care teams. This study aimed to understand frontline PCPs' perspectives on providing hybrid virtual and in-person depression care during the pandemic.

METHOD

From September to November 2020, 12 semistructured individual interviews focused on depression management were conducted with PCPs in two Veterans Health Administration (VA) clinics in Los Angeles, which resumed in-person services while balancing rising COVID-19 cases. Interviews were audio-recorded, transcribed, and coded for depression management patterns. Themes were derived using a team-based constant comparative analytic approach.

RESULTS

The pandemic and subsequent expanded use of virtual care necessitated clinic adaptations to depression assessments and procedures. PCPs perceived increased depression and anxiety among patients with existing psychiatric conditions, attributed to social distancing and isolation restrictions. They expressed acceptance of virtual care modalities for patients' depression management. PCPs did not perceive a delay in mental health care delivery in the shift to virtual care but noted the possibility of patients being lost to follow-up.

CONCLUSIONS

During the pandemic, there has been heightened PCP concern for patients' emotional well-being and adaptations of clinic processes to meet needs for depression care. While PCPs were optimistic about new virtual care options for depression management, virtual care transfers remained poorly defined and the extent to which patient care experiences and health outcomes have been disrupted remains unknown. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Guideline-discordant inhaler regimens after COPD hospitalization: associations with rurality, drive time to care, and fragmented care - a United States cohort study

Background

Many patients receive guideline-discordant inhaler regimens after chronic obstructive pulmonary disease (COPD) hospitalization. Geography and fragmented care across multiple providers likely influence prescription of guideline-discordant inhaler regimens, but these have not been comprehensively studied. We assessed patient-level differences in guideline-discordant inhaler regimens by rurality, drive time to pulmonary specialty care, and fragmented care.

Methods

Retrospective cohort analysis using national Veterans Health Administration (VA) data among patients who received primary care and prescriptions from the VA. Patients hospitalized for COPD exacerbation between 2017 and 2020 were assessed for guideline-discordant inhaler regimens in the subsequent 3 months. Guideline-discordant inhaler regimens were defined as short-acting inhaler/s only, inhaled corticosteroid (ICS) monotherapy, long-acting beta-agonist (LABA) monotherapy, ICS + LABA, long-acting muscarinic antagonist (LAMA) monotherapy, or LAMA + ICS. Rural residence and drive time to the closest pulmonary specialty care were obtained from geocoded addresses. Fragmented care was defined as hospitalization outside the VA. We used multivariable logistic regression models to assess associations between rurality, drive time, fragmentated care, and guideline-discordant inhaler regimens. Models were adjusted for age, sex, race/ethnicity, Charlson Comorbidity Index, Area Deprivation Index, and region.

Findings

Of 33,785 patients, 16,398 (48.6%) received guideline-discordant inhaler regimens 3 months after hospitalization. Rural residents had higher odds of guideline-discordant inhalers regimens compared to their urban counterparts (adjusted odds ratio [aOR] 1.18 [95% CI: 1.12-1.23]). The odds of receiving guideline-discordant inhaler regimens increased with longer drive time to pulmonary specialty care (aOR 1.38 [95% CI: 1.30-1.46] for drive time >90 min compared to <30 min). Fragmented care was also associated with higher odds of guideline-discordant inhaler regimens (aOR 1.56 [95% CI: 1.48-1.63]).

Interpretation

Rurality, long drive time to care, and fragmented care were associated with greater prescription of guideline-discordant inhaler regimens after COPD hospitalization. These findings highlight the need to understand challenges in delivering evidence-based care.

Funding

NIHNCATS grants KL2TR002492 and UL1TR002494.

Dual utilization of Medicare and VA outpatient care among Veterans with spinal cord injuries and disorders

OBJECTIVE

Veterans with spinal cord injuries and disorders (SCI/D) utilizing Veterans Affairs healthcare facilities are also Medicare eligible. Use of multiple health care systems potentially duplicates or fragments care in this population; yet little is known about those using multiple systems. This study describes dual use of services paid for by VA and Medicare among Veterans with SCI/D.

DESIGN

Retrospective, cross-sectional, observational study.

PARTICIPANTS

Veterans with SCI/D (n = 13,902) who received healthcare services within the VA SCI System of Care and were eligible for or enrolled in Medicare in 2011.

INTERVENTIONS

N/A.

OUTCOME MEASURES

Patient characteristics, average number of visits and patient level frequencies of reasons for visits were determined for individuals within healthcare utilization (VA only, Medicare only, or dual VA/Medicare) groups. Multinomial logistic regression analyses were used to investigate associations of patient variables on dual use.

RESULTS

65.3% of Veterans with SCI/D were VA only users for outpatient encounters, 4.4% had encounters paid for by Medicare only, and 30.3% were dual users. Veterans were less likely to be VA only users if they were older than 69 and if they had been injured for greater than ten years. African American Veterans with SCI (compared to white) were more likely to be VA only users.

CONCLUSION

A substantial number (∼30%) of Veterans with SCI/D are dual users. These numbers highlight the importance of improved strategies to coordinate care and increase health information sharing across systems.

Choosing Veterans Affairs: Determinants of post-9/11 Veterans' enrollment in Veterans Affairs health care

Following recent policy changes, younger Veterans have particularly increased options for where to receive their health care. Although existing research provides some understanding of non-modifiable individual (e.g., age) and external community (e.g., non-VA provider supply) factors that influence VA enrollment, this study focused on modifiable facility access and quality factors that could influence Veterans' decisions to enroll in VA. In this cohort study, we examined enrollment in and use of VA services in the year following military separation as the binary outcome using mixed-effects logistic regressions, stratified by Active and Reserve Components. This study included 260,777 Active and 101,572 Reserve Component post-9/11 Veterans separated from the military in fiscal years 2016 to 2017. Independent variables included 4 access measures for timeliness of VA care and 3 VA quality measures, which are included in VA Medical Centers' performance plans. Eligible Veterans were more likely to enroll in VA when the closest VA had higher quality scores. After accounting for timeliness of VA care and non-modifiable characteristics, rating of primary care (PC) providers was associated with higher VA enrollment for Active Component (odds ratio [OR] = 1.014, 95% confidence interval [CI]: 1.007-1.020). Higher mental health (MH) continuity (OR = 1.039, 95% CI: 1.000-1.078) and rating of PC providers (OR = 1.009, 95% CI: 1.000-1.017) were associated with higher VA enrollment for Reserve Component. Improving facility-specific quality of care may be a way to increase VA enrollment. In a changing policy environment, study results will help VA leadership target changes they can make to manage enrollment of Veterans in VA and deliver needed foundational services.

Veterans Health Administration National TeleOncology Service

PURPOSE

As the largest integrated health care system in the United States, the Veterans Health Administration (VA) is a leader in telehealth-delivered care. All 10 million Veterans cared for within the VA are eligible for telehealth. The VA cares for approximately 46,000 Veteran patients with newly diagnosed cancer and an estimated 400,000 prevalent cases annually. With nearly 38% of VA health care system users residing in rural areas and only 44% of rural counties having an oncologist, many Veterans lack local access to specialized cancer services.

METHODS

We describe the VA's National TeleOncology (NTO) Service. NTO was established to provide Veterans with the opportunity for specialized treatment regardless of geographical location. Designed as a hub-and-spoke model, VA oncologists from across the country can provide care to patients at spoke sites. Spoke sites are smaller and rural VA medical centers that are less able to independently provide the full range of services available at larger facilities. In addition to smaller rural spoke sites, NTO also provides subspecialized oncology care to Veterans located in larger VA medical facilities that do not have subspecialties available or that have limited capacity.

RESULTS

As of fiscal year 2021, 23 clinics are served by or engaged in planning for delivery of NTO and there are 24 physicians providing care through the NTO virtual hub. Most NTO physicians continue to provide patient care in separate traditional in-person clinics. Approximately 4,300 unique Veterans have used NTO services. Approximately half (52%) of Veterans using NTO lived in rural areas. Most of these Veterans had more than one remote visit through NTO.

CONCLUSION

NTO is a state-of-the-art model that has the potential to revolutionize the way cancer care is delivered, which should improve the experience of Veterans receiving cancer care.

Rates of Primary Care and Integrated Mental Health Telemedicine Visits Between Rural and Urban Veterans Affairs Beneficiaries Before and After the Onset of the COVID-19 Pandemic

IMPORTANCE

Telemedicine can increase access to care, but uptake has been low among people living in rural areas. The Veterans Health Administration initially encouraged telemedicine uptake in rural areas, but telemedicine expansion efforts have broadened since the COVID-19 pandemic.

OBJECTIVE

To examine changes over time in rural-urban differences in telemedicine use for primary care and for mental health integration services among Veterans Affairs (VA) beneficiaries.

DESIGN, SETTING, AND PARTICIPANTS

This cohort study examined 63.5 million primary care and 3.6 million mental health integration visits across 138 VA health care systems nationally from March 16, 2019, to December 15, 2021. Statistical analysis took place from December 2021 to January 2023.

EXPOSURES

Health care systems with most clinic locations designated as rural.

MAIN OUTCOMES AND MEASURES

For every system, monthly visit counts for primary care and mental health integration specialties were aggregated from 12 months before to 21 months after pandemic onset. Visits were categorized as in person or telemedicine, including video. A difference-in-difference approach was used to examine associations in visit modality by health care system rurality and pandemic onset. Regression models also adjusted for health care system size as well as relevant patient characteristics (eg, demographic characteristics, comorbidities, broadband internet access, and tablet access).

RESULTS

The study included 63 541 577 primary care visits (6 313 349 unique patients) and 3 621 653 mental health integration visits (972 578 unique patients) (6 329 124 unique patients among the cohort; mean [SD] age, 61.4 [17.1] years; 5 730 747 men [90.5%]; 1 091 241 non-Hispanic Black patients [17.2%]; and 4 198 777 non-Hispanic White patients [66.3%]). In fully adjusted models for primary care services before the pandemic, rural VA health care systems had higher proportions of telemedicine use than urban ones (34% [95% CI, 30%-38%] vs 29% [95% CI, 27%-32%]) but lower proportions of telemedicine use than urban health care systems after pandemic onset (55% [95% CI, 50%-59%] vs 60% [95% CI, 58%-62%]), signifying a 36% reduction in the odds of telemedicine use (odds ratio [OR], 0.64; 95% CI, 0.54-0.76). The rural-urban telemedicine gap was even larger for mental health integration (OR, 0.49; 95% CI, 0.35-0.67) than for primary care services. Few video visits occurred across rural and urban health care systems (unadjusted percentages: before the pandemic, 2% vs 1%; after the pandemic, 4% vs 8%). Nonetheless, there were rural-urban divides for video visits in both primary care (OR, 0.28; 95% CI, 0.19-0.40) and mental health integration services (OR, 0.34; 95% CI, 0.21-0.56).

CONCLUSIONS AND RELEVANCE

This study suggests that, despite initial telemedicine gains at rural VA health care sites, the pandemic was associated with an increase in the rural-urban telemedicine divide across the VA health care system. To ensure equitable access to care, the VA health care system's coordinated telemedicine response may benefit from addressing rural disparities in structural capacity (eg, internet bandwidth) and from tailoring technology to encourage adoption among rural users.

Differences Between VHA-Delivered and VHA-Purchased Behavioral Health Care in Service and Patient Characteristics

OBJECTIVE

Federal legislation has expanded Veterans Health Administration (VHA) enrollees' access to VHA-purchased "community care." This study examined differences in the amount and type of behavioral health care delivered in VHA and purchased in the community, along with patient characteristics and area supply and demand factors.

METHODS

This retrospective cross-sectional study examined data for 204,094 VHA enrollees with 448,648 inpatient behavioral health stays and 3,467,010 enrollees with 55,043,607 outpatient behavioral health visits from fiscal years 2016 to 2019. Standardized mean differences (SMDs) were calculated for patient and provider characteristics at the outpatient-visit level for VHA and community care. Linear probability models assessed the association between severity of behavioral health condition and site of care.

RESULTS

Twenty percent of inpatient stays were purchased through community care, with severe behavioral health conditions more likely to be treated in VHA inpatient care. In the outpatient setting, community care accounted for 3% of behavioral health care visits, with increasing use over time. For outpatient care, veterans receiving community care were more likely than those receiving VHA care to see clinicians with fewer years of training (SMD=1.06).

CONCLUSIONS

With a large portion of inpatient behavioral health care occurring in the community and increased use of outpatient behavioral health care with less highly trained community providers, coordination between VHA and the community is essential to provide appropriate inpatient follow-up care and address outpatient needs. This is especially critical given VHA's expertise in providing behavioral health care to veterans and its legislative responsibility to ensure integrated care.

Primary Care Physician Perspectives on the Influence of Patient Values, Health Priorities, and Preferences on Clinical Decision-Making for Complex Patients with Multimorbidity: A Qualitative Study

Introduction

The prevalence of patients with multimorbidity (ie, multiple chronic conditions) is increasing. Clinical decision-making guided by patients' values, health priorities and goals, and treatment preferences is particularly important in the context of interacting diseases and psychosocial needs. Physicians face challenges incorporating patient perspectives into care plans. We examined primary care physician (PCP) views on the influence of patients' values, health priorities and goals, and preferences on clinical decisions for patients with multimorbidity and increased psychosocial complexity.

Methods

We conducted semi-structured telephone interviews with 23 PCPs within patient-centered medical home teams in a nationally integrated health system in the United States between May and July 2020. Data were analyzed via thematic analysis with deductive and inductive coding.

Results

Three major themes emerged: 1. Patient personal values were rarely explicitly discussed in routine clinical encounters but informed more commonly discussed concepts of patient priorities, goals, and preferences; 2. Patient values, health priorities and goals, and preferences were sources of divergent views about care plans between healthcare teams, patients, and families; 3. Physicians used explicit strategies to communicate and negotiate about patient values, health priorities and goals, and preferences when developing care plans, including trust-building; devoting extra effort to individualizing care; connecting patient values to healthcare recommendations; deliberate elicitation and acknowledgement of patient concerns; providing "space" for patient perspectives; incorporating family into care planning; pairing physician to patient priorities; and collaborative teamwork.

Conclusion

Primary care physicians perceive patient values, health priorities and goals, and preferences as influential during clinical decision-making for complex patients with multimorbidity. Participants used concrete strategies to negotiate alignment of these aspects when physician-patient divergence occurred. While rarely discussed directly in clinical encounters, personal values affected patient health priorities, goals, and preferences during care planning, suggesting a clinical role for more deliberate elicitation and discussion of patient values for this population.

Outpatient care fragmentation in Veterans Affairs patients at high-risk for hospitalization

OBJECTIVE

To examine outpatient care fragmentation and its association with future hospitalization among patients at high risk for hospitalization.

DATA SOURCES

Veterans Affairs (VA) and Medicare data.

STUDY DESIGN

We conducted a longitudinal study, using logistic regression to examine how outpatient care fragmentation in FY14 (as measured by number of unique providers, Breslau's Usual Provider of Care (UPC), Bice-Boxerman's Continuity of Care Index (COCI), and Modified Modified Continuity Index (MMCI)) was associated with all-cause hospitalizations and hospitalizations related to ambulatory care sensitive conditions (ACSC) in FY15. We also examined how fragmentation varied by patient's age, gender, race, ethnicity, marital status, rural status, history of homelessness, number of chronic conditions, Medicare utilization, and mental health care utilization.

DATA EXTRACTION METHODS

We extracted data for 130,704 VA patients ≥65 years old with a hospitalization risk ≥90th percentile and ≥ four outpatient visits in the baseline year.

PRINCIPAL FINDINGS

The mean (SD) of FY14 outpatient visits was 13.2 (8.6). Fragmented care (more providers, less care with a usual provider, more dispersed care based on COCI) was more common among patients with more chronic conditions and those receiving mental health care. In adjusted models, most fragmentation measures were not associated with all-cause hospitalization, and patients with low levels of fragmentation (more concentrated care based on UPC, COCI, and MMCI) had a higher likelihood of an ACSC-related hospitalization (AOR, 95% CI = 1.21 (1.09-1.35), 1.27 (1.14-1.42), and 1.28 (1.18-1.40), respectively).

CONCLUSIONS

Contrary to expectations, outpatient care fragmentation was not associated with elevated all-cause hospitalization rates among VA patients in the top 10th percentile for risk of admission; in fact, fragmented care was linked to lower rates of hospitalization for ACSCs. In integrated settings such as the VA, multiple providers, and dispersed care might offer access to timely or specialized care that offsets risks of fragmentation, particularly for conditions that are sensitive to ambulatory care.

Effect of the Affordable Care Act on healthcare utilization for Veterans with spinal cord injuries and disorders

Context/Objective: Provisions of the Affordable Care Act (ACA) potentially increase insurance options for Veterans with disabilities. We examined Veterans with spinal cord injuries and disorders (SCI/D) to assess whether the ACA was associated with changes in healthcare utilization from Department of Veterans Affairs (VA) healthcare facilities.Design: Using national VA data, we investigated impacts on VA healthcare utilization pre- (2012/13) and post-ACA (2014/15) implementation with negative binomial regression models.Setting: VA healthcare facilities.Participants: 8,591 VA users with SCI/D. Veterans with acute myelitis, Guillain-Barré syndrome, multiple sclerosis, or amyotrophic lateral sclerosis were excluded as were patients who died during the study period.Interventions: We assessed VA healthcare utilization before and after ACA implementation.Outcome Measures: Total numbers of VA visits for SCI/D care, diagnostic care, primary care, specialty care, and mental health care, and VA admissions.Results: The number of VA admissions was 7% higher in the post than pre-ACA implementation period (P < 0.01). The number of VA visits post-implementation increased for SCI/D care (8%; P < 0.01) and specialty care (12%; P < 0.001). Conversely, the number of mental health visits was 17% lower in the post-ACA period (P < 0.001). Veterans with SCI/D who live <5 miles from their nearest VA facility received VA care more frequently than those ≥40 miles from VA (P < 0.001).Conclusion: Counter to expectations, results suggest that Veterans with SCI/D sought more frequent VA care after ACA implementation, indicating Veterans with SCI/D continue to utilize the lifelong, comprehensive care provided at VA.

Electronic Population-Based Depression Detection and Management Through Universal Screening in the Veterans Health Administration

IMPORTANCE

In 2016, the US Preventive Services Task Force newly recommended universal screening for depression, with the expectation that screening would be associated with appropriate treatment. Few studies have been able to assess the population-based trajectory from screening to receipt of follow-up and treatment for individuals with depression.

OBJECTIVE

To examine adherence to guidelines for follow-up and treatment among primary care patients who newly screened positive for depression in the Veterans Health Administration (VA).

DESIGN, SETTING, AND PARTICIPANTS

This retrospective cohort study used VA electronic data to identify patients who newly screened positive for depression on the 2-item Patient Health Questionnaire at 82 primary care VA clinics in California, Arizona, and New Mexico between October 1, 2015, and September 30, 2019. Data analysis was performed from December 2020 to August 2021.

MAIN OUTCOMES AND MEASURES

Receipt of guideline-concordant care for screen-positive patients who were determined by clinicians as having depression was assessed. Timely follow-up (within 84 days of screening) was defined as receiving 3 or more mental health specialty visits, 3 or more psychotherapy visits, or 3 or more primary care visits with a depression diagnosis according to the International Statistical Classification of Diseases and Related Health Problems, Tenth Revision. Completing at least minimal treatment (within 12 months) was defined as having 60 days or more of antidepressant prescriptions filled, 4 or more mental health specialty visits, or 3 or more psychotherapy visits.

RESULTS

The final cohort included 607 730 veterans (mean [SD] age, 59.4 [18.2] years; 546 516 men [89.9%]; 339 811 non-Hispanic White [55.9%]); 8%, or 82 998 of 997 185 person-years, newly screened positive for depression. Clinicians identified fewer than half with depression (15 155 patients), of whom 32% (5034 of 15 650 person-years) met treatment guidelines for timely follow-up and 77% (12 026 of 15 650 person-years) completed at least minimal treatment. Younger age (odds ratio, 0.990; 95% CI, 0.986-0.993; P < .001), Black race (odds ratio, 1.19; 95% CI, CI 1.05-1.34; P = .01), and having comorbid psychiatric diagnoses were significantly associated with timely follow-up. Individual quality metric components (eg, medication or psychotherapy) were associated differently with overall quality results among patient groups, except for age.

CONCLUSIONS AND RELEVANCE

In this cohort study, most patients met the guidelines for completing at least minimal treatment, but only a minority received timely follow-up after screening positive and being identified as having depression. More research is needed to understand whether the discrepancy between patients who screened positive and patients identified as having depression reflects a gap in recognition of needed care.

Anticipating VA/non-VA care coordination demand for Veterans at high risk for hospitalization

U.S. Veterans Affairs (VA) patients' multi-system use can create challenges for VA clinicians who are responsible for coordinating Veterans' use of non-VA care, including VA-purchased care ("Community Care") and Medicare.To examine the relationship between drive distance and time-key eligibility criteria for Community Care-and VA reliance (proportion of care received in VA versus Medicare and Community Care) among Veterans at high risk for hospitalization. We used prepolicy data to anticipate the impact of the 2014 Choice Act and 2018 Maintaining Internal Systems and Strengthening Integrated Outside Networks Act (MISSION Act), which expanded access to Community Care.Cross-sectional analysis using fractional logistic regressions to examine the relationship between a Veteran's reliance on VA for outpatient primary, mental health, and other specialty care and their drive distance/time to a VA facility.Thirteen thousand seven hundred three Veterans over the age of 65 years enrolled in VA and fee-for-service Medicare in federal fiscal year 2014 who were in the top 10th percentile for hospitalization risk.Key explanatory variables were patients' drive distance to VA > 40 miles (Choice Act criteria) and drive time to VA ≥ 30 minutes for primary and mental health care and ≥60 minutes for specialty care (MISSION Act criteria).Veterans at high risk for hospitalization with drive distance eligibility had increased odds of an outpatient specialty care visit taking place in VA when compared to Veterans who did not meet Choice Act eligibility criteria (odds ratio = 1.10, 95% confidence interval 1.05-1.15). However, drive time eligibility (MISSION Act criteria) was associated with significantly lower odds of an outpatient specialty care visit taking place in VA (odds ratio = 0.69, 95% confidence interval 0.67, 0.71). Neither drive distance nor drive time were associated with reliance for outpatient primary care or mental health care.VA patients who are at high risk for hospitalization may continue to rely on VA for outpatient primary care and mental health care despite access to outside services, but may increase use of outpatient specialty care in the community in the MISSION era, increasing demand for multi-system care coordination.

Factors affecting primary care physician decision-making for patients with complex multimorbidity: a qualitative interview study

BACKGROUND

Patients with multiple chronic conditions (multimorbidity) and additional psychosocial complexity are at higher risk of adverse outcomes. Establishing treatment or care plans for these patients must account for their disease interactions, finite self-management abilities, and even conflicting treatment recommendations from clinical practice guidelines. Despite existing insight into how primary care physicians (PCPs) approach care decisions for their patients in general, less is known about how PCPs make care planning decisions for more complex populations particularly within a medical home setting. We therefore sought to describe factors affecting physician decision-making when care planning for complex patients with multimorbidity within the team-based, patient-centered medical home setting in the integrated healthcare system of the U.S. Department of Veterans Affairs, the Veterans Health Administration (VHA).

METHODS

This was a qualitative study involving semi-structured telephone interviews with PCPs working > 40% time in VHA clinics. Interviews were conducted from April to July, 2020. Content was analyzed with deductive and inductive thematic analysis.

RESULTS

23 physicians participated in interviews; most were MDs (n = 21) and worked in hospital-affiliated clinics (n = 14) across all regions of the VHA's national clinic network. We found internal, external, and relationship-based factors, with developed subthemes describing factors affecting decision-making for complex patients with multimorbidity. Physicians described tailoring decisions to individual patients; making decisions in keeping with an underlying internal style or habit; working towards an overarching goal for care; considering impacts from patient access and resources on care plans; deciding within boundaries provided by organizational structures; collaborating on care plans with their care team; and impacts on decisions from their own emotions and relationship with patient.

CONCLUSIONS

PCPs described internal, external, and relationship-based factors that affected their care planning for high-risk and complex patients with multimorbidity in the VHA. Findings offer useful strategies employed by physicians to effectively conduct care planning for complex patients in a medical home setting, such as delegation of follow-up within multidisciplinary care teams, optimizing visit time vs frequency, and deliberate investment in patient-centered relationship building to gain buy-in to care plans.

A Cost-Consequence Analysis of Preemptive SLCO1B1 Testing for Statin Myopathy Risk Compared to Usual Care

There is a well-validated association between SLCO1B1 (rs4149056) and statin-associated muscle symptoms (SAMS). Preemptive SLCO1B1 pharmacogenetic (PGx) testing may diminish the incidence of SAMS by identifying individuals with increased genetic risk before statin initiation. Despite its potential clinical application, the cost implications of SLCO1B1 testing are largely unknown. We conducted a cost-consequence analysis of preemptive SLCO1B1 testing (PGx+) versus usual care (PGx-) among Veteran patients enrolled in the Integrating Pharmacogenetics in Clinical Care (I-PICC) Study. The assessment was conducted using a health system perspective and 12-month time horizon. Incremental costs of SLCO1B1 testing and downstream medical care were estimated using data from the U.S. Department of Veterans Affairs' Managerial Cost Accounting System. A decision analytic model was also developed to model 1-month cost and SAMS-related outcomes in a hypothetical cohort of 10,000 Veteran patients, where all patients were initiated on simvastatin. Over 12 months, 13.5% of PGx+ (26/193) and 11.2% of PGx- (24/215) participants in the I-PICC Study were prescribed Clinical Pharmacogenetics Implementation Consortium (CPIC) guideline-concordant statins (Δ2.9%, 95% CI -4.0% to 10.0%). Differences in mean per-patient costs for lipid therapy prescriptions, including statins, for PGx+ compared to PGx- participants were not statistically significant (Δ USD 9.53, 95% CI -0.86 to 22.80 USD). Differences in per-patient costs attributable to the intervention, including PGx testing, lipid-lowering prescriptions, SAMS, laboratory and imaging expenses, and primary care and cardiology services, were also non-significant (Δ- USD 1004, 95% CI -2684 to 1009 USD). In the hypothetical cohort, SLCO1B1-informed statin therapy averted 109 myalgias and 3 myopathies at 1-month follow up. Fewer statin discontinuations (78 vs. 109) were also observed, but the SLCO1B1 testing strategy was 96 USD more costly per patient compared to no testing (124 vs. 28 USD). The implementation of SLCO1B1 testing resulted in small, non-significant increases in the proportion of patients receiving CPIC-concordant statin prescriptions within a real-world primary care context, diminished the incidence of SAMS, and reduced statin discontinuations in a hypothetical cohort of 10,000 patients. Despite these effects, SLCO1B1 testing administered as a standalone test did not result in lower per-patient health care costs at 1 month or over 1 year of treatment. The inclusion of SLCO1B1, among other well-validated pharmacogenes, into preemptive panel-based testing strategies may provide a better balance of clinical benefit and cost.

Veterans' Use of Veterans Health Administration Primary Care in an Era of Expanding Choice

BACKGROUND

The Veterans Choice Program (VCP), aimed at improving access to care, included expanded options for Veterans to receive primary care through community providers.

OBJECTIVES

The objective of this study was to characterize and compare Veterans use of Veterans Health Administration (VA) primary care services at VA facilities and through a VA community care network (VA-CCN) provider.

RESEARCH DESIGN

This was a retrospective, observational over fiscal years (FY) 2015-2018.

SUBJECTS

Veterans receiving primary care services paid for by the VA.

MEASURES

Veteran demographic, socioeconomic and clinical factors and use of VA primary care services under the VCP each year.

RESULTS

There were 6.3 million Veterans with >54 million VA primary care visits, predominantly (98.5% of visits) at VA facility. The proportion of VA-CCN visits increased in absolute terms from 0.7% in 2015 to 2.6% in 2018. Among Veterans with any VA-CCN primary care, the proportion of VA-CCN visits increased from 22.6% to 55.3%. Logistic regression indicated that Veterans who were female, lived in rural areas, had a driving distance >40 miles, had health insurance or had a psychiatric/depression condition were more likely to receive VA-CCN primary care. Veterans who were older, identified as Black race, required to pay VA copayments, or had a higher Nosos score, were less likely to receive VA-CCN primary care.

CONCLUSION

As the VA transitions from the VCP to MISSION and VA facilities gain experience under the new contracts, attention to factors that impact Veterans' use of primary care services in different settings are important to monitor to identify access barriers and to ensure Veterans' health care needs are met.

Demographic, Health, and Exposure Risks Associated With Cognitive Loss, Alzheimer's Disease and Other Dementias in US Military Veterans

The US military veteran population receiving care through the Veterans Health Administration (VHA) is particularly susceptible to cognitive impairment and dementias such as Alzheimer's disease and related dementias due to demographic, clinical, and economic factors. In this report we summarize the prevalence of dementia among US veterans and risks associated with AD and related dementias. We discuss the likelihood that these risks may be increasing in those about to enter the age in which dementias are common. We propose that VHA, the largest integrated health care system in the US, has shown promise in managing health risks that impact dementia prevention and propose further system wide approaches to be assessed for effective dementia prevention and care delivery.

Mental and physical health factors related to dual use of veterans affairs and non-veterans affairs healthcare among U.S. reserve soldiers

This study examined the association between mental and physical health factors and dual use of Veterans' Affairs (VA) and non-VA healthcare among previously deployed male Reserve/National Guard (R/NG) soldiers (N = 214). Participants completed online annual surveys on a range of topics, including validated measures of mental and physical health, as well as questions about past-year healthcare utilization. Multinomial logistic regression models separately examined the association between mental health symptoms (PTSD, anxiety, depression, emotional role limitations), physical health symptoms (bodily pain, physical role limitations), and healthcare use (single use and dual use compared to no use), controlling for geography, trust in the VA, age, and race. Anxiety (aRR: 1.13; 95% Confidence Interval (CI): 1.02, 1.26; p<.05), depression (aRR: 1.23; 95% CI: 1.06, 1.43; p<.01), and PTSD (aRR: 1.05; 95% CI: 1.01, 1.10; p<.05) symptoms were all related to past year dual use of VA and non-VA healthcare, even after controlling for known demographic factors. Bodily pain and emotional and physical role limitations were not related to healthcare outcomes. This suggests that mental health symptoms themselves may be a primary factor driving healthcare use. Further study is needed to examine whether dual use of VA and non-VA healthcare is duplicative or complementary.

Greater patient-centered medical home implementation was associated with lower attrition from VHA primary care

BACKGROUND

Patient-centered medical home models such as the Veterans Health Administration (VHA) Patient Aligned Care Team (PACT) model aim to improve primary care through accessible, comprehensive, continuous team-based care. Practices that adhere to patient-centered medical home principles have been found to exhibit higher patient satisfaction, possibly leading to higher retention of patients longitudinally and reducing attrition from care. We examined whether greater PACT implementation was related to lower attrition from VHA primary care.

METHODS

A national cohort of 1.5 million nonelderly patients with chronic conditions and using VHA primary care in the baseline year (fiscal year 2015) was identified. Attrition was measured as not receiving primary care over two subsequent years. PACT implementation in 863 VHA primary care practices was measured by the PACT Implementation Progress Index (Pi2) across 8 domains.

RESULTS

Overall, the attrition rate was 4.4%. Predicted attrition was highest for patients treated in practices with the lowest PACT implementation scores (4.8%) compared to 4.0% among patients in practices with the highest PACT implementation scores (difference = -0.8 (95% CI: -1.3, -0.2)). Better performance on most PACT domains was significantly associated with lower attrition.

CONCLUSIONS

Primary care practices that facilitate easier access to providers as well as provide more seamless care coordination, better communication with providers, and support for self-management appear to positively affect patients' decisions to stay in VHA care.

IMPLICATIONS

Provision of accessible, comprehensive, team-based primary care, as measured in this study, is likely to be a determinant of patient retention in VHA care.

LEVEL OF EVIDENCE

3.

Association of High-Cost Health Care Utilization With Longitudinal Changes in Patient-Centered Medical Home Implementation

IMPORTANCE

In 2010, the US Veterans Health Administration (VHA) implemented one of the largest patient-centered medical home (PCMH) models in the United States, the Patient Aligned Care Team initiative. Early evaluations demonstrated promising associations with improved patient outcomes, but limited evidence exists on the longitudinal association of PCMH implementation with changes in health care utilization.

OBJECTIVE

To determine whether a change in PCMH implementation is associated with changes in emergency department (ED) visits, hospitalizations for ambulatory care-sensitive conditions (ACSCs), or all-cause hospitalizations.

DESIGN, SETTING, AND PARTICIPANTS

This cohort study used national patient-level data from the VHA and Centers for Medicare & Medicaid Services between October 1, 2012, and September 30, 2015. A total of 1 650 976 patients from 897 included clinics were divided into 2 cohorts: patients younger than 65 years who received primary care at VHA sites affiliated with a VHA ED and patients 65 years or older who were enrolled in both VHA and Medicare services.

EXPOSURES

Clinics were categorized on improvement or decline in PCMH implementation based on their Patient Aligned Care Team implementation progress index (Pi2) score.

MAIN OUTCOMES AND MEASURES

Change in the number of ED visits, ACSC hospitalizations, and all-cause hospitalizations among patients at each clinic site.

RESULTS

The study included a total of 1 650 976 patients, of whom 581 167 (35.20%) were younger than 65 years (mean [SD] age, 49.03 [10.28] years; 495 247 [85.22%] men) and 1 069 809 (64.80%) were 65 years or older (mean [SD] age, 74.64 [7.41] years; 1 050 110 [98.16%] men). Among patients younger than 65 years, there were fewer ED visits among patients seen at clinics that had improved PCMH implementation (110.8 fewer visits per 1000 patients; P < .001) and clinics that had somewhat worse implementation (69.0 fewer visits per 1000 patients; P < .001) compared with clinics that had no change in Pi2 score. There were no associations of change in Pi2 scores with all-cause hospitalizations or ACSC hospitalizations among patients younger than 65 years. In patients 65 years or older, those seen at clinics that had somewhat worse PCMH implementation experienced fewer ED visits (20.1 fewer visits per 1000 patients; P = .002) and all-cause hospitalizations (12.4 fewer hospitalizations per 1000 patients; P = .007) compared with clinics with no change in Pi2 score. There was no association between change in Pi2 score with ACSC hospitalizations among patients 65 years or older.

CONCLUSIONS AND RELEVANCE

There were no consistent associations of change in Pi2 score with high-cost health care utilization. This finding highlights the key differences in measuring PCMH implementation longitudinally compared with cross-sectional study designs.

How Are Patients Accessing Primary Care Within the Patient-Centered Medical Home? Results From the Veterans Health Administration

The patient-centered medical home (PCMH) expands access by providing care same-day, by phone, and after hours; however, little is known about which patients seek these services. We examined the association of patient, clinical, and local economic characteristics with the self-reported use of 5 routine and nonroutine ways to access primary care within the Veterans Health Administration. We identified sets of characteristics, including gender- and age-specific, racial and ethnic, and socioeconomic differences of how veterans report seeking primary care. As the PCMH model develops, it will be important to further understand the differential demand for these services to optimize patient-centered access.

Health System and Beneficiary Costs Associated With Intensive End-of-Life Medical Services

IMPORTANCE

Despite recommendations to reduce intensive medical treatment at the end of life, many patients with cancer continue to receive such services.

OBJECTIVE

To quantify expected beneficiary and health system costs incurred in association with receipt of intensive medical services in the last month of life.

DESIGN, SETTING, AND PARTICIPANTS

This retrospective cohort study used data collected nationally from Medicare and the Veterans Health Administration for care provided in fiscal years 2010 to 2014. Participants were 48 937 adults aged 66 years or older who died of solid tumor and were continuously enrolled in fee-for-service Medicare and the Veterans Health Administration in the 12 months prior to death. The data were analyzed from February to August 2019.

EXPOSURES

American Society of Clinical Oncology metrics regarding medically intensive services provided in the last month of life, including hospital stay, intensive care unit stay, chemotherapy, 2 or more emergency department visits, or hospice for 3 or fewer days.

MAIN OUTCOMES AND MEASURES

Costs in the last month of life associated with receipt of intensive medical services were evaluated for both beneficiaries and the health system. Costs were estimated from generalized linear models, adjusting for patient demographics and comorbidities and conditioning on geographic region.

RESULTS

Of 48 937 veterans who received care through the Veterans Health Administration and Medicare, most were white (90.8%) and male (98.9%). More than half (58.9%) received at least 1 medically intensive service in the last month of life. Patients who received no medically intensive service generated a mean (SD) health system cost of $7660 ($1793), whereas patients who received 1 or more medically intensive services generated a mean (SD) health system cost of $23 612 ($5528); thus, the additional financial consequence to the health care system for medically intensive services was $15 952 (95% CI, $15 676-$16 206; P < .001). The biggest contributor to these differences was $21 093 (95% CI, $20 364-$21 689) for intensive care unit stay, while the smallest contributor was $3460 (95% CI, $2927-$3880) for chemotherapy. Mean (SD) expected beneficiary costs for the last month of life were $133 ($50) for patients with no medically intensive service and $1257 ($408) for patients with at least 1 medically intensive service (P < .001).

CONCLUSIONS AND RELEVANCE

Given the low income of many elderly patients in the United States, the financial consequences of medically intensive services may be substantial. Costs of medically intensive services at the end of life, including patient financial consequences, should be considered by both physicians and families.

Patient-Reported Access in the Patient-Centered Medical Home and Avoidable Hospitalizations: an Observational Analysis of the Veterans Health Administration

BACKGROUND

The Patient-Centered Medical Home (PCMH) has emphasized timely access to primary care, often by using non-traditional modes of delivery, such as care in person after-hours or by phone during or after normal hours. Limited data exists on whether improving patient-reported access with these service types reduces hospitalization.

OBJECTIVE

To examine the association of patient-reported access to primary care within the Veteran Health Administration (VHA) via five service types and hospitalizations for ambulatory care sensitive conditions (ACSCs).

DESIGN

Retrospective cohort study, using multivariable logistic regression adjusting for patient demographics, comorbidity, characteristics of patients' area of residence, and clinic-level random effects.

PARTICIPANTS

A total of 69,710 VHA primary care patients who responded to the 2012 Survey of Healthcare Experiences of Patients (SHEP), PCMH module.

MAIN MEASURES

Survey questions captured patients' ability to obtain care from VHA for five service types: routine care, immediate care, after-hours care, care by phone during regular office hours, and care by phone after normal hours. Outcomes included binary measures of hospitalization for overall, acute, and chronic ACSCs in 2013, identified in VHA administrative data and Medicare fee-for-service claims.

KEY RESULTS

Patients who reported "always" able to obtain after-hours care compared to "never" were less likely to be hospitalized for chronic ACSCs (OR 0.62, 95% CI 0.44-0.89, p = 0.009). Patients reporting "usually" getting care by phone during regular hours were more likely have a hospitalization for chronic ACSC (OR 1.49, 95% CI 1.03-2.17, p = 0.034). Experiences with routine care, immediate care, and care by phone after-hours demonstrated no significant association with hospitalization for ACSCs.

CONCLUSIONS

Improving patients' ability to obtain after-hours care was associated with fewer hospitalizations for chronic ACSCs, while access to care by phone during regular hours was associated with more hospitalizations. Health systems should consider the benefits, including reduced hospitalizations for chronic ACSCs, against the costs of implementing each of these PCMH services.

Recommendations for the Evaluation of Cross-System Care Coordination from the VA State-of-the-art Working Group on VA/Non-VA Care

In response to widespread concerns regarding Veterans' access to VA care, Congress enacted the Veterans Access, Choice and Accountability Act of 2014, which required VA to establish the Veterans Choice Program (VCP). Since the inception of VCP, more than two million Veterans have received care from community providers, representing approximately 25% of Veterans enrolled in VA care. However, expanded access to non-VA care has created challenges in care coordination between VA and community health systems. In March 2018, the VA Health Services Research & Development Service hosted a VA State of the Art conference (SOTA) focused on care coordination. The SOTA convened VA researchers, program directors, clinicians, and policy makers to identify knowledge gaps regarding care coordination within the VA and between VA and community systems of care. This article provides a summary and synthesis of relevant literature and provides recommendations generated from the SOTA about how to evaluate cross-system care coordination. Care coordination is typically evaluated using health outcomes including hospital readmissions and death; however, in cross-system evaluations of care coordination, measures such as access, cost, Veteran/patient and provider satisfaction (including with cross-system communication), comparable quality metrics, context (urban vs. rural), and patient complexity (medical and mental health conditions) need to be included to fully evaluate care coordination effectiveness. Future research should examine the role of multiple individuals coordinating VA and non-VA care, and how these coordinators work together to optimize coordination.

Exploring the association of care fragmentation and patient ratings of care quality: A mediation analysis of women Veterans' experience with VA care

OBJECTIVE

To examine the relationship between care fragmentation and patient ratings of care quality and identify potentially actionable mediators.

DATA SOURCES/STUDY SETTING

2015 telephone survey of 1395 women Veterans with three or more visits in primary care and/or women's health care in the prior year at 12 Veterans Affairs (VA) medical centers.

STUDY DESIGN

Cross-sectional analysis.

DATA COLLECTION/EXTRACTION METHODS

We operationalized lower care fragmentation as receiving VA-only care versus dual use of VA/non-VA care. Participants rated VA care quality (overall care, women's health care (WH), and primary care (PC)) and three aspects of their patient experience (ease of access to services, provider communication, and gender sensitivity of VA environments). We examined associations between care fragmentation and care ratings and applied the Karlson-Holm-Breen decomposition method to test for mediation by aspects of patients' experience.

PRINCIPAL FINDINGS

Lower care fragmentation was associated with higher ratings of care quality (odds ratios [95% CI] for overall care: 1.57 [1.14;2.17]; WH: 1.65 [1.20;2.27]; PC: 1.41 [1.10;1.82]). Relationships were mediated by patient-rated provider communication and gender sensitivity (26-54 percent and 14-15 percent of total effects, respectively). Ease of access was associated with higher care ratings (odds ratios [95% CI] for overall care: 2.93 [2.25;3.81]; WH: 2.81 [2.15;3.68]; PC: 2.33 [1.63;3.33], in models with the three types of patient care experiences included), but did not mediate the association of care fragmentation and care ratings.

CONCLUSIONS

Potential negative effects of care fragmentation on care quality ratings could be mitigated by attention to quality of patient-provider communication and gender sensitivity of VA environments.

A scoping review of military veterans involved in the criminal justice system and their health and healthcare

BACKGROUND

In the criminal justice system, special populations, such as older adults or patients with infectious diseases, have been identified as particularly vulnerable to poor health outcomes. Military veterans involved in the criminal justice system are also a vulnerable population warranting attention because of their unique healthcare needs. This review aims to provide an overview of existing literature on justice-involved veterans' health and healthcare to identify research gaps and inform policy and practice.

METHODS

A systematic search was conducted to identify research articles related to justice-involved veterans' health and healthcare that were published prior to December 2017. Study characteristics including healthcare category, study design, sample size, and funding source were extracted and summarized with the aim of providing an overview of extant literature.

RESULTS

The search strategy initially identified 1830 unique abstracts with 1387 abstracts then excluded. Full-text review of 443 articles was conducted with 252 excluded. There were 191 articles included, most related to veterans' mental health (130/191, 68%) or homelessness (24/191, 13%). Most studies used an observational design (173/191, 91%).

CONCLUSIONS

Knowledge gaps identified from the review provide guidance on future areas of research. Studies on different sociodemographic groups, medical conditions, and the management of multiple conditions and psychosocial challenges are needed. Developing and testing interventions, especially randomized trials, to address justice-involved veterans care needs will help to improve their health and healthcare. Finally, an integrated conceptual framework that draws from diverse disciplines, such as criminology, health services, psychology, and implementation science is needed to inform research, policy and practice focused on justice-involved veterans.

SCAN-ECHO for Pain Management: Implementing a Regional Telementoring Training for Primary Care Providers

Objective

The Specialty Care Access Network-Extension for Community Health Outcomes (SCAN-ECHO) is a video teleconferencing-based training program where primary care providers are trained by a specialty care team to provide specialty care. A multidisciplinary team of pain management specialists at the Cleveland Veterans Affairs Medical Center established such a program for pain management; a description and preliminary effectiveness assessment of this training program is presented.

Design

Primary care provider participants in the Specialty Care Access Network program in pain management completed pre- and post-training questionnaires. A subset of these participants also participated in a group session semistructured interview.

Subjects

Twenty-four primary care providers from Cleveland, South Texas, or Wisconsin Veterans Affairs Medical Centers who regularly attended pain management SCAN-ECHO sessions during 2011, 2012, 2013, or 2014 completed pre- and post-training questionnaires.

Methods

Pre- and post-training questionnaires were conducted to measure confidence in treating and knowledge of pain management. Questionnaire responses were tested for significance using R. Qualitative data were analyzed using inductive coding and content analysis.

Results

Statistically significant increases in confidence ratings and scores on knowledge questionnaires were noted from pre- to post-pain management SCAN-ECHO training. Program participants felt more knowledgeable and reported improved communication between specialty and primary care providers.

Conclusions

This pilot study reveals positive outcomes in terms of primary care providers' confidence and knowledge in treating patients with chronic pain. Results suggest that involving primary care providers in a one-year academic project such as this can improve their knowledge and skills and has the potential to influence their opioid prescribing practices.

Effectiveness of Implementing a Collaborative Chronic Care Model for Clinician Teams on Patient Outcomes and Health Status in Mental Health: A Randomized Clinical Trial

IMPORTANCE

Collaborative chronic care models (CCMs) have extensive randomized clinical trial evidence for effectiveness in serious mental illnesses, but little evidence exists regarding their feasibility or effect in typical practice conditions.

OBJECTIVE

To determine the effectiveness of implementation facilitation in establishing the CCM in mental health teams and the impact on health outcomes of team-treated individuals.

DESIGN, SETTING, AND PARTICIPANTS

This quasi-experimental, randomized stepped-wedge implementation trial was conducted from February 2016 through February 2018, in partnership with the US Department of Veterans Affairs (VA) Office of Mental Health and Suicide Prevention. Nine facilities were enrolled from all VA facilities in the United States to receive CCM implementation support. All veterans (n = 5596) treated by designated outpatient general mental health teams were included for hospitalization analyses, and a randomly selected sample (n = 1050) was identified for health status interviews. Individuals with dementia were excluded. Clinicians (n = 62) at the facilities were surveyed, and site process summaries were rated for concordance with the CCM process. The CCM implementation start time was randomly assigned across 3 waves. Data analysis of this evaluable population was performed from June to September 2018.

INTERVENTIONS

Internal-external facilitation, combining a study-funded external facilitator and a facility-funded internal facilitator working with a designated team for 1 year.

MAIN OUTCOMES AND MEASURES

Facilitation was hypothesized to be associated with improvements in both implementation and intervention outcomes (hybrid type II trial). Implementation outcomes included the clinician Team Development Measure (TDM) and proportion of CCM-concordant team care processes. The study was powered for the primary health outcome, mental component score (MCS). Hospitalization rate was derived from administrative data.

RESULTS

The veteran population (n = 5596) included 881 women (15.7%), and the mean (SD) age was 52.2 (14.5) years. The interviewed sample (n = 1050) was similar but was oversampled for women (n = 210 [20.0%]). Facilitation was associated with improvements in TDM subscales for role clarity (53.4%-68.6%; δ = 15.3; 95% CI, 4.4-26.2; P = .01) and team primacy (50.0%-68.6%; δ = 18.6; 95% CI, 8.3-28.9; P = .001). The percentage of CCM-concordant processes achieved varied, ranging from 44% to 89%. No improvement was seen in veteran self-ratings, including the primary outcome. In post hoc analyses, MCS improved in veterans with 3 or more treated mental health diagnoses compared with others (β = 5.03; 95% CI, 2.24-7.82; P < .001). Mental health hospitalizations demonstrated a robust decrease during facilitation (β = -0.12; 95% CI, -0.16 to -0.07; P < .001); this finding withstood 4 internal validity tests.

CONCLUSIONS AND RELEVANCE

Implementation facilitation that engages clinicians under typical practice conditions can enhance evidence-based team processes; its effect on self-reported overall population health status was negligible, although health status improved for individuals with complex conditions and hospitalization rate declined.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT02543840.

Veterans' Reliance on VA Care by Type of Service and Distance to VA for Nonelderly VA-Medicaid Dual Enrollees

BACKGROUND

Not much is known about nonelderly veterans and their reliance on care from the Veterans Affairs (VA) health care system when they have access to non-VA care.

OBJECTIVES

To estimate VA reliance for nonelderly veterans enrolled in VA and Medicaid.

RESEARCH DESIGN

Retrospective, longitudinal analysis of Medicaid claims data and VA administrative data to compare patients' utilization of VA and Medicaid services 12 months before and for up to 12 months after Medicaid enrollment began.

SUBJECTS

Nonelderly veterans (below 65 y) receiving VA care and newly enrolled in Medicaid, calendar years 2006-2010 (N=19,890).

MEASURES

VA reliance (proportion of care received in VA) for major categories of outpatient and inpatient care.

RESULTS

Patients used VA outpatient care at similar levels after enrolling in Medicaid with the exceptions of emergency department (ED) and obstetrics/gynecology care, which decreased. VA inpatient utilization was similar after Medicaid enrollment for most types of care. VA-adjusted outpatient reliance was highest for mental health care (0.99) and lowest for ED care (0.02). VA-adjusted inpatient reliance was highest for respiratory (0.80) and cancer stays (0.80) and lowest for musculoskeletal stays (0.20). Associations between VA reliance and distance to VA providers varied by type of care.

CONCLUSIONS

Veterans dually enrolled in Medicaid received most of their outpatient care from the VA except ED, obstetrics/gynecology, and dental care. Patients received most of their inpatient care from Medicaid except mental health, respiratory, and cancer care. Sensitivity to travel distance to VA providers explained some of these differences.

The Impact of Medicaid Enrollment on Veterans Health Administration Enrollees' Behavioral Health Services Use

OBJECTIVE

To examine Veterans Health Administration (VA) enrollees' use of VA services for treatment of behavioral health conditions (BHCs) after gaining Medicaid, and if VA reliance varies by complexity of BHCs.

DATA SOURCES/STUDY SETTING

VA and Medicaid Analytic eXtract utilization data from 31 states, 2006-2010.

STUDY DESIGN

A retrospective, longitudinal study of Veterans enrolled in VA care in the year before and year after enrollment in Medicaid among 7,249 nonelderly Veterans with serious mental illness (SMI), substance use disorder (SUD), posttraumatic stress disorder (PTSD), depression, or other BHCs.

DATA COLLECTION/EXTRACTION METHODS

Utilization and VA reliance (proportion of care received at VA) for BH outpatient and inpatient services in unadjusted and adjusted analyses.

PRINCIPAL FINDINGS

In adjusted analyses, we found that overall Veterans did not significantly change their use of VA outpatient BH services after Medicaid enrollment. In beta-binomial models predicting VA BH outpatient reliance, veterans with SMI (IRR = 1.38, p < .05), PTSD (IRR = 1.62, p < .01), and depression (IRR = 1.36, p < .05) had higher reliance than veterans with other BHCs after Medicaid enrollment.

CONCLUSIONS

While veterans did not change the amount of VA outpatient BH services they used after enrolling in Medicaid, the proportion of care they received through VA or Medicaid varied by BHC.

Fee-for-Service Medicare-Enrolled Elderly Veterans Are Increasingly Voting with Their Feet to Use More VA and Less Medicare, 2003-2014

OBJECTIVE

To examine the long-term reliance on outpatient care at the population (i.e., system) level among fee-for-service Medicare-enrolled elderly veterans in the Department of Veterans Affairs (VA) health care system and Medicare from 2003 to 2014.

DATA SOURCES/STUDY SETTING

We analyzed a 5 percent random sample, stratified by facility, age, gender, and race, of Medicare-enrolled veterans enrolled in a VA primary care panel using VA administrative data and Medicare claims.

STUDY DESIGN

We performed a repeated cross-sectional analysis over 48 quarters. VA reliance was defined at the system level as the proportion of total visits (VA + Medicare) that occurred in VA. We examined four visit types and seven high-volume medical subspecialties. We applied direct standardization adjusting for age, gender, and race using the 2010 population distribution of Medicare-enrolled veterans.

PRINCIPAL FINDINGS

Over the 12-year period, VA provided the vast majority of mental health care. Conversely, veterans received slightly more than half of their primary care and most of their specialty care, surgical care, and seven high-volume medical subspecialties through Medicare. However, reliance on VA outpatient care steadily increased over time for all categories of care.

CONCLUSIONS

Despite the controversies about VA access to care, Medicare-enrolled veterans, who have a choice of using VA or Medicare providers, appear to increase their use of VA care prior to the Choice Act.

Attributable Cost of Dementia: Demonstrating Pitfalls of Ignoring Multiple Health Care System Utilization

OBJECTIVES

To determine dementia prevalence and costs attributable to dementia using Veterans Health Administration (VHA) data with and without Medicare data.

DATA SOURCES

VHA inpatient, outpatient, purchased care and other data and Medicare enrollment, claims, and assessments in fiscal year (FY) 2013.

STUDY DESIGN

Analyses were conducted with VHA data alone and with combined VHA and Medicare data. Dementia was identified from a VHA sanctioned list of ICD-9 diagnoses. Attributable cost of dementia was estimated using recycled predictions.

DATA COLLECTION

Veterans age 65 and older who used VHA and were enrolled in Traditional Medicare in FY 2013 (1.9 million).

PRINCIPAL FINDINGS

VHA records indicated the prevalence of dementia in FY 2013 was 4.8 percent while combined VHA and Medicare data indicated the prevalence was 7.4 percent. Attributable cost of dementia to VHA was, on average, $10,950 per veteran per year (pvpy) using VHA alone and $6,662 pvpy using combined VHA and Medicare data. Combined VHA and Medicare attributable cost of dementia was $11,285 pvpy. Utilization attributed to dementia using VHA data alone was lower for long-term institutionalization and higher for supportive care services than indicated in combined VHA and Medicare data.

CONCLUSIONS

Better planning for clinical and cost-efficient care requires VHA and Medicare to share data for veterans with dementia and likely more generally.

Characteristics of dual drug benefit use among veterans with dementia enrolled in the Veterans Health Administration and Medicare Part D

BACKGROUND

Obtaining prescription medications from multiple health systems may complicate coordination of care. Older Veterans who obtain medications concurrently through Veterans Affairs (VA) benefits and Medicare Part D benefits (dual users) are at higher risk of unintended negative outcomes.

OBJECTIVE

To explore characteristics predicting dual drug benefit use from both VA and Medicare Part D in a national sample of older Veterans with dementia.

METHODS

Administrative data were obtained from the VA and Medicare for a national sample of 110,828 Veterans with dementia ages 68 and older in 2010. Veterans were classified into three drug benefit user groups based on the source of all prescription medications they obtained in 2010: VA-only, Part D-only, and Dual Use. Multinomial logistic regression was used to examine predictors of drug benefit user group. The source of prescriptions was described for each of the ten most frequently used drug classes and opioids.

RESULTS

Fifty-six percent of Veterans received all of their prescription medications from VA-only, 28% from Part D-only, and 16% from both VA and Part D. Veterans who were eligible for Medicaid or who had a priority group score conferring less generous drug benefits within the VA were more likely to be Part D-only or dual users. Nearly one fourth of Veterans taking opioids concurrently received opioid prescriptions from dual sources (24.7%).

CONCLUSIONS

Medicaid eligibility and Veteran priority group status, which largely decrease copayments for drugs obtained outside versus within the VA, respectively, were the main factors predicting drug user benefit group. Policies to encourage single-system prescribing and enhance communication across health systems are crucial to preventing negative health outcomes related to care fragmentation.

Association between Continuity and Team-Based Care and Health Care Utilization: An Observational Study of Medicare-Eligible Veterans in VA Patient Aligned Care Team

OBJECTIVE

It remains unknown whether high-functioning teams can compensate for poor continuity of care to support important patient outcomes.

DATA SOURCE

Linked VA administrative and Medicare claims data to measure the relationship of team-based care and continuity of care with high-cost utilization.

STUDY DESIGN

Retrospective cohort study of 1.2 million VA-Medicare dual eligible Veterans assigned to a VA primary care provider (PCP) in 2012. Continuity was the proportion of primary care visits to the assigned VA provider of care. Clinics were categorized as low, average, or high-team functioning based on survey data. Our primary outcomes were the number of all-cause hospitalizations, ambulatory care sensitive (ACSC) hospitalizations, and emergency department (ED) visits in 2013.

PRINCIPAL FINDINGS

A 10-percentage point increase in continuity with a VA PCP was associated with 4.5 fewer hospitalizations (p < .001), 3.2 fewer ACSC hospitalizations (p < .001), and 2.6 more ED visits (p = .07) per 1,000 patients. Team-based care was not significantly associated with any high-cost utilization category. Associations were heterogeneous across VA-reliant and nonreliant Veterans. Finally, the interaction results demonstrated that the quality of team-based care functioning could not compensate for poor continuity on hospitalizations, ACSC hospitalizations, or ED visits.

CONCLUSIONS

In Veterans who were reliant on the VA for services, increasing continuity with a VA PCP and high-functioning team-based care clinics was associated with fewer ED visits and hospitalizations. Furthermore, leveraging combined data from VA and Medicare allowed to better measure continuity and assess high-cost utilization among Veterans who are and are not reliant on the VA for services.

Dual Use and Hospital Admissions among Veterans Enrolled in the VA's Homeless Patient Aligned Care Team

OBJECTIVE

To examine the association between reliance on VA outpatient care and hospital admissions among Medicare-eligible Veterans enrolled in the Homeless Patient Aligned Care Team (H-PACT).

DATA SOURCES/STUDY SETTING

Registry of H-PACT enrollees linked to VA and Medicare utilization data for 2013.

STUDY DESIGN

After assigning Veterans to two groups according to whether they received >90 percent of outpatient care in VA (higher reliance) or <90 percent of outpatient care in VA (lower reliance), generalized linear models with inverse probability of treatment weights were used to estimate the association of reliance with Medicare and VA-financed hospital admissions.

PRINCIPAL FINDINGS

Compared with higher reliance Veterans, lower reliance Veterans had an equivalent number of annual VA hospitalizations (0.63 vs. 0.50; p = .14) but substantially greater Medicare hospitalizations (0.85 vs. 0.08; p < .001). Among Veterans in the highest tertile of outpatient visits, we observed statistically similar rates of VA hospital use but over 10-fold greater rates of Medicare-financed hospitalizations (1.31 for lower reliance vs. 0.15 for high reliance; p < .001).

CONCLUSIONS

Among Veterans receiving integrated care in VA's H-PACT, dual use of Medicare and VA outpatient care is strongly associated with acute hospitalizations financed by Medicare. Linking VA and non-VA data may identify a subset of homeless Veterans with fragmented outpatient care who are at increased risk of poor outcomes.

Association Between Guideline-Discordant Prostate Cancer Imaging Rates and Health Care Service Among Veterans and Medicare Recipients

Importance

Prostate cancer imaging rates appear to vary by health care setting. With the recent extension of the Veterans Access, Choice, and Accountability Act, the government has provided funds for veterans to seek care outside the Veterans Health Administration (VA). It is important to understand the difference in imaging rates and subsequent differences in patterns of care in the VA vs a traditional fee-for-service setting such as Medicare.

Objective

To assess the association between prostate cancer imaging rates and a VA vs fee-for-service health care setting.

Design, Setting, and Participants

This cohort study included data for men who received a diagnosis of prostate cancer from January 1, 2004, through March 31, 2008, that were collected from the VA Central Cancer Registry, linked to administrate claims and Medicare utilization records, and the Surveillance, Epidemiology, and End Results Program database. Three distinct nationally representative cohorts were constructed (use of VA only, use of Medicare only, and dual use of VA and Medicare). Men older than 85 years at diagnosis and men without high-risk features but missing any tumor risk characteristic (prostate-specific antigen, Gleason grade, or clinical stage) were excluded. Analysis of the data was completed from March 2016 to February 2018.

Exposures

Patient utilization of different health care delivery systems.

Main Outcomes and Measures

Rates of prostate cancer imaging were analyzed by health care setting (Medicare only, VA and Medicare, and VA only) among patients with low-risk prostate cancer and patients with high-risk prostate cancer.

Results

Of 98 867 men with prostate cancer (77.4% white; mean [SD] age, 70.26 [7.48] years) in the study cohort, 57.3% were in the Medicare-only group, 14.5% in the VA and Medicare group, and 28.1% in the VA-only group. Among men with low-risk prostate cancer, the Medicare-only group had the highest rate of guideline-discordant imaging (52.5%), followed by the VA and Medicare group (50.9%) and the VA-only group (45.9%) (P < .001). Imaging rates for men with high-risk prostate cancer were not significantly different among the 3 groups. Multivariable analysis showed that individuals in the VA and Medicare group (risk ratio [RR], 0.87; 95% CI, 0.76-0.98) and VA-only group (RR, 0.79; 95% CI, 0.67-0.92) were less likely to receive guideline-discordant imaging than those in the Medicare-only group.

Conclusions and Relevance

The results of this study suggest that patients with prostate cancer who use Medicare rather than the VA for health care could experience more utilization of health care services without an improvement in the quality of care.

Empirical-Based Typology of Health Care Utilization by Medicare Eligible Veterans

OBJECTIVE

Up to 70 percent of patients who receive care through Veterans Health Administration (VHA) facilities also receive care from non-VA providers. Using applied classification techniques, this study sought to improve understanding of how elderly VA patients use VA services and complementary use of non-VA care.

METHODS

The study included 1,721,900 veterans age 65 and older who were enrolled in VA and Medicare during 2013 with at least one VA encounter during 2013. Outpatient and inpatient encounters and medications received in VA were classified, and mutually exclusive patient subsets distinguished by patterns of VA service use were derived empirically using latent class analysis (LCA). Patient characteristics and complementary use of non-VA care were compared by patient subset.

RESULTS

Five patterns of VA service use were identified that were distinguished by quantity of VA medical and specialty services, medication complexity, and mental health services. Low VA Medical users tend to be healthier and rely on non-VA services, while High VA users have multiple high cost illnesses and concentrate their care in the VA.

CONCLUSIONS

VA patients distinguished by patterns of VA service use differ in illness burden and the use of non-VA services. This information may be useful for framing efforts to optimize access to care and care coordination for elderly VA patients.

Use of Veterans Affairs and Medicaid Services for Dually Enrolled Veterans

OBJECTIVES

To examine how dual coverage for nonelderly, low-income veterans by Veterans Affairs (VA) and Medicaid affects their demand for care.

DATA SOURCES

Veterans Affairs utilization data and Medicaid Analytic Extract Files.

STUDY DESIGN

A retrospective, longitudinal study of VA users prior to and following enrollment in Medicaid 2006-2010.

DATA COLLECTION/EXTRACTION METHODS

Veterans Affairs reliance, or proportion of care provided by VA, was estimated with beta-binomial models, adjusting for patient and state Medicaid program factors.

PRINCIPAL FINDINGS

In a cohort of 19,890 nonelderly veterans, VA utilization levels were similar before and after enrolling in Medicaid. VA outpatient reliance was 0.65, and VA inpatient reliance was 0.53 after Medicaid enrollment. Factors significantly associated with greater VA reliance included sociodemographic factors, having a service-connected disability, comorbidity, and higher state Medicaid reimbursement. Factors significantly associated with less VA reliance included months enrolled in Medicaid, managed care enrollment, Medicaid eligibility type, longer drive time to VA care, greater Medicaid eligibility generosity, and better Medicaid quality.

CONCLUSION

Veterans Affairs utilization following new Medicaid enrollment remained relatively unchanged, and the VA continued to provide the large majority of care for dually enrolled veterans. There was variation among patients as Medicaid eligibility and other program factors influenced their use of Medicaid services.

Systematic Review of Behavioral Weight Management Program MOVE! for Veterans

CONTEXT

Since 2006, the Veterans Health Administration has delivered a population-based behavioral weight management program (MOVE!) to Veterans, which numerous studies have examined. The purpose of this study was to systematically review these studies to understand MOVE! participation rates and the association between MOVE! participation and weight change.

EVIDENCE ACQUISITION

A December 2016 PubMed search identified 320 English-language abstracts published between January 1, 2005 and December 31, 2016, of which 42 underwent full-text review. Twenty-six articles were determined to be eligible for final inclusion and data elements extracted from these articles included study years, study design, content of MOVE! and control intervention (if any), inclusion/exclusion criteria, initial sample size and sample loss, intervention duration and follow-up, patient characteristics, and outcomes. Quality was assessed using the Newcastle-Ottawa Quality Scale.

EVIDENCE SYNTHESIS

Studies were judged to be of good quality. Twenty-one of the 26 studies were retrospective cohort studies, one was a prospective cohort study and four were randomized trials. Program participation varied substantially (2%-12%) across studies. Six-month weight loss ranged from -0.95 kg to -1.84 kg, whereas 12-month weight loss ranged from -0.13 kg to -3.3 kg. A maximum of 25% of MOVE! users engaged in intense and sustained participation (eight or more visits within 6 months), but higher participation levels were consistently associated with greater weight change (-1.18 kg to -5.3 kg at 6 months, -1.68 kg to -3.58 kg at 12 months).

CONCLUSIONS

MOVE! participation is associated with modest short-term weight loss, with greater weight loss as participation increases. More research is needed to understand the barriers and facilitators to participation and the effect of MOVE! participation on long-term health and economic outcomes.

State-Level Variability in Veteran Reliance on Veterans Health Administration and Potentially Preventable Hospitalizations: A Geospatial Analysis

Most Veterans who use the Veterans Health Administration (VHA) also utilize private-sector health care providers. To better inform local and regional health care planning, we assessed the association between reliance on VHA ambulatory care and total and system-specific preventable hospitalization rates (PHRs) at the state level. We conducted a retrospective dynamic cohort study using Veterans with diabetes mellitus, aged 66 years or older, and dually enrolled in VHA and Medicare parts A and B from 2004 to 2010. While controlling for median age and proportion of males, we measured the association between reliance on VHA ambulatory care and PHRs at the state level using multivariable ordinary least square regression, geographically weighted regression, and generalized additive models. We measured geospatial patterns in PHRs using global Moran’s I and univariate local indicator spatial analysis. Approximately 30% of hospitalized Veterans experienced a preventable hospitalization. Reliance on VHA ambulatory care at the state level ranged from 13.92% to 67.78% and was generally not associated with PHRs. Geospatial analysis consistently identified a cluster of western states with low PHRs from 2006 to 2010. Given the generally low reliance on VHA ambulatory care and lack of association between this reliance and PHRs, policy changes to improve Veterans’ health care outcomes should address private-sector care in addition to VHA care.

Predicting Hospitalization and Outpatient Corticosteroid Use in Inflammatory Bowel Disease Patients Using Machine Learning

BACKGROUND

Inflammatory bowel disease (IBD) is a chronic disease characterized by unpredictable episodes of flares and periods of remission. Tools that accurately predict disease course would substantially aid therapeutic decision-making. This study aims to construct a model that accurately predicts the combined end point of outpatient corticosteroid use and hospitalizations as a surrogate for IBD flare.

METHODS

Predictors evaluated included age, sex, race, use of corticosteroid-sparing immunosuppressive medications (immunomodulators and/or anti-TNF), longitudinal laboratory data, and number of previous IBD-related hospitalizations and outpatient corticosteroid prescriptions. We constructed models using logistic regression and machine learning methods (random forest [RF]) to predict the combined end point of hospitalization and/or corticosteroid use for IBD within 6 months.

RESULTS

We identified 20,368 Veterans Health Administration patients with the first (index) IBD diagnosis between 2002 and 2009. Area under the receiver operating characteristic curve (AuROC) for the baseline logistic regression model was 0.68 (95% confidence interval [CI], 0.67-0.68). AuROC for the RF longitudinal model was 0.85 (95% CI, 0.84-0.85). AuROC for the RF longitudinal model using previous hospitalization or steroid use was 0.87 (95% CI, 0.87-0.88). The 5 leading independent risk factors for future hospitalization or steroid use were age, mean serum albumin, immunosuppressive medication use, and mean and highest platelet counts. Previous hospitalization and corticosteroid use were highly predictive when included in specified models.

CONCLUSIONS

A novel machine learning model substantially improved our ability to predict IBD-related hospitalization and outpatient steroid use. This model could be used at point of care to distinguish patients at high and low risk for disease flare, allowing individualized therapeutic management.

Impact of Dual Use of Department of Veterans Affairs and Medicare Part D Drug Benefits on Potentially Unsafe Opioid Use

OBJECTIVES

To estimate the prevalence and consequences of receiving prescription opioids from both the Department of Veterans Affairs (VA) and Medicare Part D.

METHODS

Among US veterans enrolled in both VA and Part D filling 1 or more opioid prescriptions in 2012 (n = 539 473), we calculated 3 opioid safety measures using morphine milligram equivalents (MME): (1) proportion receiving greater than 100 MME for 1 or more days, (2) mean days receiving greater than 100 MME, and (3) proportion receiving greater than 120 MME for 90 consecutive days. We compared these measures by opioid source.

RESULTS

Overall, 135 643 (25.1%) veterans received opioids from VA only, 332 630 (61.7%) from Part D only, and 71 200 (13.2%) from both. The dual-use group was more likely than the VA-only group to receive greater than 100 MME for 1 or more days (34.3% vs 10.9%; adjusted risk ratio [ARR] = 3.0; 95% confidence interval [CI] = 2.9, 3.1), have more days with greater than 100 MME (42.5 vs 16.9 days; adjusted difference = 16.4 days; 95% CI = 15.7, 17.2), and to receive greater than 120 MME for 90 consecutive days (7.8% vs 3.1%; ARR = 2.2; 95% CI = 2.1, 2.3).

CONCLUSIONS

Among veterans dually enrolled in VA and Medicare Part D, dual use of opioids was associated with more than 2 to 3 times the risk of high-dose opioid exposure.

Trends in Opioid Use Disorder Diagnoses and Medication Treatment Among Veterans With Posttraumatic Stress Disorder

OBJECTIVE

Despite long-standing interest in posttraumatic stress disorder (PTSD) and opioid use disorder comorbidity, there is a paucity of data on the prevalence of opioid use disorder in patients with PTSD. Therefore, there is limited understanding of the use of medications for opioid use disorder in this population. We determined the prevalence of diagnosed opioid use disorder and use of medications for opioid use disorder in a large cohort of patients with PTSD.

METHODS

We obtained administrative and pharmacy data for veterans who initiated PTSD treatment in the Department of Veterans Affairs (VA) between 2004 and 2013 (N = 731,520). We identified those with a comorbid opioid use disorder diagnosis (2.7%; n = 19,998) and determined whether they received a medication for opioid use disorder in the year following their initial clinical PTSD diagnosis (29.6%; n = 5,913). Using logistic regression, we determined the predictors of receipt of opioid use disorder medications.

RESULTS

Comorbid opioid use disorder diagnoses increased from 2.5% in 2004 to 3.4% in 2013. Patients with comorbid opioid use disorder used more health services and had more comorbidities than other patients with PTSD. Among patients with PTSD and comorbid opioid use disorder, use of medications for opioid use disorder increased from 22.6% to 35.1% during the same time period. Growth in the use of buprenorphine (2.0% to 22.7%) was accompanied by relative decline in use of methadone (19.3% to 12.7%). Patients who received buprenorphine were younger and more likely to be rural, White, and married. Patients who received methadone were older, urban, unmarried, from racial and ethnic minorities, and more likely to see substance abuse specialists. While use of naltrexone increased (2.8% to 8.6%), most (87%) patients who received naltrexone also had an alcohol use disorder. Controlling for patient factors, there was a substantial increase in the use of buprenorphine, a substantial decrease in the use of methadone, and no change in use of naltrexone across years.

CONCLUSIONS

Opioid use disorder is an uncommon but increasing comorbidity among patients with PTSD. Patients entering VA treatment for PTSD have their opioid use disorder treated with opioid agonist treatments in large and increasing numbers. There is a need for research both on the epidemiology of opioid use disorder among patients with PTSD and on screening for opioid use disorder.

Utilization of Care Outside the Veterans Affairs Health Care System by US Veterans With Rheumatoid Arthritis

OBJECTIVE

Many veterans enrolled in Veterans Affairs (VA) health care systems also receive care through other health care systems. Both VA and non-VA health care use must therefore be considered when conducting research in this population. This study characterized dual-care utilization in veterans with rheumatoid arthritis (RA) and explored associations with RA disease activity.

METHODS

Through a questionnaire mailed to RA patients at 3 VA sites, veterans reported medical services by non-VA primary care and subspecialty providers, comorbidities, non-VA medications, and hospitalizations. Disease Activity Score in 28 joints (DAS28) and Multidimensional Health Assessment Questionnaire (MD-HAQ) scores were recorded during VA clinic visits, and respondent groups were compared.

RESULTS

Of the 510 participants surveyed, 318 (62%) responded. Respondents were older (ages 69 versus 66 years; P = 0.006), more likely nonsmokers (80% versus 67%; P = 0.001), and had lower disease activity (DAS28 3.3 versus 3.8; P < 0.001, MD-HAQ 0.8 versus 0.9; P = 0.01) than nonrespondents (n = 192 [38%]). The respondents with a non-VA provider (n = 130 [41%]) were older (71 versus 68 years; P = 0.001) and had more education (14 versus 13 years; P = 0.021) than nondual-care users. Only 6% of respondents reported having a non-VA rheumatologist, with 2% receiving a non-VA prescribed biologic agent or disease-modifying antirheumatic drug.

CONCLUSION

In this study, VA beneficiaries with RA had lower dual-care utilization than previously reported for the general VA population, with few patients receiving dual rheumatology care or non-VA RA medications. This survey suggests that most US veterans with RA who access VA care use the VA as their primary source of arthritis care.

Reduced Cardiovascular Disease Incidence With a National Lifestyle Change Program

INTRODUCTION

Lifestyle change programs implemented within healthcare systems could reach many Americans, but their impact on cardiovascular disease (CVD) remains unclear. The MOVE! program is the largest lifestyle change program implemented in a healthcare setting in the U.S. This study aimed to determine whether MOVE! participation was associated with reduced CVD incidence.

METHODS

This retrospective cohort study, analyzed in 2013-2015, used national Veterans Health Administration databases to identify MOVE! participants and eligible non-participants for comparison (2005-2012). Patients eligible for MOVE!-obese or overweight with a weight-related health condition, and no baseline CVD-were examined (N=1,463,003). Of these, 169,248 (12%) were MOVE!

PARTICIPANTS

Patients were 92% male, 76% white, with mean age 52 years and BMI of 32. The main outcome was incidence of CVD (ICD-9 and procedure codes for coronary artery disease, cerebrovascular disease, peripheral vascular disease, and heart failure).

RESULTS

Adjusting for age, race, sex, BMI, statin use, and baseline comorbidities, over a mean 4.9 years of follow-up, MOVE! participation was associated with lower incidence of total CVD (hazard ratio [HR]=0.83, 95% CI=0.80, 0.86); coronary artery disease (HR=0.81, 95% CI=0.77, 0.86); cerebrovascular disease (HR=0.87, 95% CI=0.82, 0.92); peripheral vascular disease (HR=0.89, 95% CI=0.83, 0.94); and heart failure (HR=0.78, 95% CI=0.74, 0.83). The association between MOVE! participation and CVD incidence remained significant when examined across categories of race/ethnicity, BMI, diabetes, hypertension, smoking status, and statin use.

CONCLUSIONS

Although participation was limited, MOVE! was associated with reduced CVD incidence in a nationwide healthcare setting.

Colorectal Cancer Statistics From the Veterans Affairs Central Cancer Registry

BACKGROUND

Colorectal cancer (CRC) is a common and potentially deadly disease. Although the United States has robust cancer data reporting, information from the Department of Veterans Affairs (VA) healthcare system has often been underrepresented in national cancer data sources. We describe veterans with incident CRC in terms of their patient and tumor characteristics and mortality.

PATIENTS AND METHODS

Patients diagnosed or treated with CRC at any VA institution in the fiscal years 2009 to 2012 were identified using 3 data sources: (1) VA Central Cancer Registry (VACCR); (2) VA Corporate Data Warehouse; and (3) VA Reports and Measures Portal. The CRC frequencies within the VA population and survival curves were examined descriptively and compared with the national projections using Surveillance, Epidemiology, and End Results program data.

RESULTS

A total of 12,551 veterans with CRC were included in the present analysis. The median age at diagnosis was 65.5 years. Approximately 97% (n = 12,229) of the CRC cases were diagnosed among men. Approximately 44% (n = 5517) of the patients were diagnosed with localized disease. The 3-year survival rate was associated with age (P < .01) and stage (P < .01) at diagnosis. We identified a possible decrease in VA CRC incidence over time.

CONCLUSION

Although the VA CRC patient population was heavily skewed toward the male gender, the patient and tumor characteristics were similar between the incident CRC cases reported by the VACCR and those reported to the Surveillance, Epidemiology, and End Results program. This suggests that research findings resulting from the VACCR might have applicability beyond the VA healthcare system setting.